class_docstr: Adds a bias term to an input.
class_docstr_tok: ["Adds","a","bias","term","to","an","input","."]
code: def build(self, input_shape):
      input_shape = tf.TensorShape(input_shape)
      self._bias = self.add_weight(
          "bias",
          shape=input_shape[1:],
          initializer=self._initializer,
          regularizer=self._regularizer,
          constraint=self._constraint,
          dtype=self._dtype,
          trainable=True,
      )
  
      super(Bias, self).build(input_shape)
  
file_path: autodist/examples/benchmark/utils/modeling/networks/masked_lm.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import tensorflow
  from tensorflow.python.keras.engine import network
  from utils import tf_utils
label_desc: Use image node_id 2 for calling the Bias obj's underlying member method code with example usage: obj.build(input_shape) without return types